As neurological disorders such as dementia, autism, and language impairment become more common, there is growing need for simple, objective screening tools. Narrative ret [...]

Many techniques developed in Natural Language Processing (NLP), a field of research concerned with using computers to process human languages, have moved from research la [...]

Chinese word segmentation (CWS) is essential for natural language processing, yet written Chinese lacks explicit word boundaries. Recent CWS evaluations include closed ta [...]

Syntactic analysis is important for many natural language processing (NLP) tasks, but constituency parsing is computationally expensive — often prohibitively so. Consumer [...]

Pipeline systems, widely used in natural language processing and other fields, process data through sequential stages to improve efficiency, manage search complexity, and [...]

The global rise of text entry modalities that are not desktop QWERTY keyboards—and therefore exhibit significant uncertainty in input actions—has created enormous opportu [...]

The input data for real-time natural language processing applications, such as simultaneous speech-to-speech translation systems, often arrives as a continuous stream wit [...]

This thesis addresses the challenge of efficient search within the exponential space of parse trees generated by weighted context-free grammars. We introduce four novel p [...]